Evidence map›Paper›PMID 19689805›Full record

ArticleBMC genomics2009

Relationship between estrogen receptor alpha location and gene induction reveals the importance of downstream sites and cofactors.

Fabio Parisi, Bernhard Sonderegger, Pratyaksha Wirapati, Mauro Delorenzi, Felix Naef

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Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fabio ParisiSchool of Life Sciences, Swiss Institute for Experimental Cancer Research (ISREC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. Fabio.Parisi@med.nyu.edu
Bernhard Sonderegger
Pratyaksha Wirapati
Mauro Delorenzi
Felix Naef

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by human estrogen receptor alpha (hERalpha), we combine extensive location and expression datasets with genomic sequence analysis. In particular, we study the influence of patterns of DNA occupancy by hERalpha on expression phenotypes.

resultsWe find that strong ChIP-chip sites co-localize with strong hERalpha consensus sites and detect nucleotide bias near hERalpha sites. The localization of ChIP-chip sites relative to annotated genes shows that weak sites are enriched near transcription start sites, while stronger sites show no positional bias. Assessing the relationship between binding configurations and expression phenotypes, we find binding sites downstream of the transcription start site (TSS) to be equally good or better predictors of hERalpha-mediated expression as upstream sites. The study of FOX and SP1 cofactor sites near hERalpha ChIP sites shows that induced genes frequently have FOX or SP1 sites. Finally we integrate these multiple datasets to define a high confidence set of primary hERalpha target genes.

conclusionOur results support the model of long-range interactions of hERalpha with the promoter-bound cofactor SP1 residing at the promoter of hERalpha target genes. FOX motifs co-occur with hERalpha motifs along responsive genes. Importantly we show that the spatial arrangement of sites near the start sites and within the full transcript is important in determining response to estrogen signaling.

Indexed as

Gene Expression RegulationTranscription Initiation SiteBinding SitesChromatin ImmunoprecipitationEstrogen Receptor alphaForkhead Transcription FactorsHumansOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticSp1 Transcription FactorTranscription, GeneticEstrogen Receptor alphaForkhead Transcription FactorsSp1 Transcription Factor

Identifiers

PMID19689805
PMCPMC2907696

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.